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features
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support

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Description

Conduct a swift and straightforward stability assessment of both surface and underground crown pillars, as well as laminated roof beds, through the utilization of three distinct limit equilibrium analysis techniques: rigid plate, elastic plate, and Voussoir (no tension) plate analysis. Additionally, carry out a probabilistic evaluation to ascertain the likelihood of failure by incorporating statistical distributions to account for variability in factors such as geometry, location of force application, joint and bedding strength, water pressure, external loads, and more. By executing a sensitivity analysis with a variety of values, you can assess how modifications to model parameters impact the factor of safety. The methodology, initially tailored for steeply dipping ore body configurations, allows for the estimation of crown geometry and the classification of stope geometry as either steep or shallow, thus enabling the application of the most relevant empirical relationships to your analysis. This comprehensive approach ensures a robust evaluation of stability across diverse geological conditions.

Description

STOCHOS is an advanced probabilistic AI solution designed specifically for engineering and research and development applications. It harnesses existing simulation, testing, and measurement data to swiftly predict new variants while providing uncertainty assessments for each prediction, allowing engineers to discern when to trust the results or opt for traditional solvers. Utilizing the DIM-GP framework, STOCHOS is effective even with limited datasets, ranging from just a few dozen to a few hundred samples, and can handle various data types such as scalars, signals, 2D and 3D fields, meshes, geometries, and images. Its capabilities include surrogate modeling, uncertainty quantification, Bayesian and multi-objective optimization, as well as multi-fidelity modeling and sensitivity analysis, along with generative geometry techniques. STOCHOS Flow, a user-friendly visual workbench, enables the creation of workflows without the need for coding, allowing teams to deploy them as web applications. The software operates on local hardware and can be installed offline, ensuring accessibility and privacy. Founded in 2018 in Grafing bei München, PI Probaligence is part of the CADFEM Group and has established itself as a technology partner with Ansys, promoting innovative solutions in engineering. Furthermore, its ability to integrate seamlessly into existing processes enhances productivity and drives efficiency in engineering teams.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

$495 per year
Free Trial Yes 
Free Version No 

Pricing Details

Quote on request
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Rocscience

Founded

1996

Country

Canada

Website

www.rocscience.com/software/cpillar

Vendor Details

Company Name

PI Probaligence GmbH

Founded

2018

Country

Germany

Website

probaligence.com

Product Features

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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